Project concept:
INTERVAL is an INTEgrated stReet tree VALuation based solution for minimising the uneven street tree distribution in cities. This research aims to develop a decision support system to increase the street tree density in Dublin City to promote climate neutrality and minimise environmental injustice that originates due to the inequality of street tree distribution.
Data-driven street tree inventory: pilot case studies, quantitative methods, machine learning and deep learning tree density analysis
Ecosystem services database provided by the most common street tree species to present the vital role street trees play in the city
Prioritised areas identification that would benefit most from increased tree canopy coverage
Our project updates!
Decision support platform co-design: an integrated web-based interface for spatial street tree ecosystem service analytics
INTERVAL: Minimise environmental injustice by addressing the unequal distribution of urban street trees through community-driven scientific research and assessing the value of ecosystem services.
